Steven Haberman

211 papers receiving 4.8k citations

Steven Haberman's Hit Papers

A cohort-based extension to the Lee–Carter model for mortality reduction factors 2006 · 552 citations
5520+6+13Years since publication100200300400500

Peers

Steven Haberman
Comparison fields: 5 of 132
  • Demography 4.4k
  • General Health Professions 3.0k
  • Health 924
  • Management Science and Operations Research 1.3k
  • Finance 820
Replace David Blake with:
David Blake United Kingdom
A. E. Renshaw United Kingdom
Michael Sherris Australia
Mary R. Hardy Canada
Mario V. Wüthrich Switzerland
Jens Perch Nielsen United Kingdom
Wai‐Sum Chan Hong Kong
Howard R. Waters United Kingdom
Han Bleichrodt Netherlands
Richard Verrall United Kingdom
Steven Haberman relative to David Blake United Kingdom David Blake's profile →
Citations per field
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David Blake · 1×
Citations per year

Countries citing papers authored by Steven Haberman

Since Specialization
Citations

This map shows the geographic impact of Steven Haberman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steven Haberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Haberman more than expected).

Fields of papers citing papers by Steven Haberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Haberman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steven Haberman. The network helps show where Steven Haberman may publish in the future.

Co-authors

The 25 scholars most cited alongside Steven Haberman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven Haberman Line = papers co-authored together Steven Haberman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A cohort-based extension to the Lee–Carter model for mortality reduction factors
Hit paper breakdown →
2006552
2 2003334
3 2009223
4 2003166
5 2010156
6 1996145
7 2002124
8 2003115
9 2004100
10 200597
11 200194
12 201488
13 199485
14 200385
15 200778
16 198177
17 200976
18 201175
19 200672
20 200470

About Steven Haberman

Steven Haberman is a scholar working on Demography, General Health Professions, Economics and Econometrics, Management Science and Operations Research and Accounting, having authored 229 papers that have together received 5.3k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (175 papers), Global Health Care Issues (108 papers), Financial Literacy, Pension, Retirement Analysis (43 papers), Insurance and Financial Risk Management (37 papers), demographic modeling and climate adaptation (37 papers), Health disparities and outcomes (30 papers), Stochastic processes and financial applications (22 papers) and Probability and Risk Models (10 papers). The work is most often cited by research in Demography (4.4k citations), General Health Professions (3.0k citations), Health (924 citations), Management Science and Operations Research (1.3k citations) and Finance (820 citations). Steven Haberman has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include A. E. Renshaw, Elena Vigna, Laura Ballotta, Russell Gerrard, Michel Denuit, Rudy Capildeo, F. Clifford Rose, Andrés M. Villegas, Richard Verrall and Annamaria Olivieri. Their work appears in journals such as Insurance Mathematics and Economics, Astin Bulletin, North American Actuarial Journal, Journal of Pensions Economics and Finance and Scandinavian Actuarial Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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